Co
Cookiecutter Python Package Template with Pipenv
Cookiecutter Python Package Template with Pipenv
Share cardActual performance
9points
1comments
Made the leaderboard
Launch Intel predictions
Analyze your own launch →58%58% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
30%30% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
13%13% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Incorrect prediction on native model
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